Carlo Sugatan
Papers
1
Total Citations
43
H-Index
1
About
Carlo Sugatan is a researcher whose work sits at the intersection of human-computer interaction, child-computer interaction, and digital privacy. His primary research area focuses on understanding how young children conceptualize data processing and digital privacy risks, a critical and understudied domain in an era of increasing childhood digital engagement. Sugatan’s most cited work, a 2021 qualitative study titled ““They See You’re a Girl if You Pick a Pink Robot with a Skirt”,” has garnered 43 citations for its pioneering approach. In this study, he and his colleagues interviewed 26 children aged 4 to 10 from families with higher educational attainment, revealing how children’s understandings of privacy are shaped by tangible, gendered cues—like robot design—rather than abstract data flows. This contribution is notable for bridging developmental psychology and privacy research, offering concrete insights for designing age-appropriate privacy education and safer digital environments. Sugatan’s work has significant implications for policymakers, educators, and technologists, highlighting the need to align digital privacy protections with children’s actual cognitive frameworks. His research stands out for its child-centered methodology and its potential to inform ethical design in children’s technology.
Research Focus
Key Achievements
Top Papers
- 1